Install payload
Install payload is broadly covered in current results.
75% (9/12)
Source-backed filter active — add entries to compare trust side by side.
Trust signals across 40 of 209 results
2 trust signals differ in this sample: Source provenance, Submitter
Signals differ on Source provenance, Submitter — add entries to compare before you install.
Rollout signal scan
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
Install payload
Install payload is broadly covered in current results.
75% (9/12)
Adoption queue
38/209 visible results are in hold tier and need mitigation before adoption.
No required blockers for this preset.
64/100
Collect package checksum or signed artifact information.
mcp/packrift-mcp-server · trust review · confidence 83%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
skills/dotnet-agent-skills · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
commands/documentation-refresh · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
commands/frontend-visual-qa · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
commands/mcp-smoke-test · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
commands/targeted-test-generation · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/ableton-mcp-extended · trust review · confidence 67%
1 blockers: Metadata review
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/adadvisor-mcp-server · trust review · confidence 67%
Decision confidence
38/209 results are low-confidence and need review before adoption.
Address Package integrity before broader rollout.
68/100
mcp/packrift-mcp-server · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
skills/dotnet-agent-skills · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
commands/documentation-refresh · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
commands/frontend-visual-qa · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
commands/mcp-smoke-test · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
commands/targeted-test-generation · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/ableton-mcp-extended · trust review
Address Metadata review, Package integrity before broader rollout.
54/100
mcp/adadvisor-mcp-server · trust review
Freshness distribution
Median age 40 days; all 12 scanned entries are within 90 days.
Theme distribution
117 distinct themes with no dominant one. Most common: mcp, python, agents.
117 distinct themes across 24 scanned
Open-source all-in-one AI framework for semantic search, LLM orchestration, and language-model workflows, built around an embeddings database that unions sparse and dense vector indexes, graph networks, and relational databases, with pipelines, workflows, agents, and web and MCP APIs.
Modular open-source Python framework for building AI agents and LLM workflows with structures, tools, memory, drivers, and RAG engines, from Griptape.
Open-source Python framework from Prefect for structured outputs and agentic AI workflows, with tasks, specialized agents, threads, and extract/cast/classify/generate utilities.
Official AWS Labs MCP server that exposes selected AWS Step Functions state machines as MCP tools without code changes, letting AI assistants run existing Standard and Express workflows that coordinate work across AWS services.
Safety-reviewed Agent Skill for Hermes Tweet, the Hermes Agent plugin for X/Twitter endpoint discovery, credentialed reads, and approval-gated actions through Xquik.
Microsoft .NET team skill marketplace for AI coding agents working on .NET, C#, ASP.NET Core, Blazor, MAUI, diagnostics, MSBuild, NuGet, upgrades, tests, AI workflows, RAG pipelines, and C# MCP servers.
Open-source Python multi-agent framework for building agent societies, role-playing agents, stateful ChatAgent workflows, RAG agents, synthetic data generation, MCP-enabled use cases, and research-scale agent experiments.
ByteDance long-horizon super-agent harness for research, coding, creation, subagents, skills, memory, sandboxes, MCP server support, messaging channels, LangGraph workflows, and Docker or local development.
Production-ready LLM app and agentic workflow platform with visual workflows, RAG pipelines, agent capabilities, model management, observability, prompt IDE, APIs, Dify Cloud, and self-hosted Docker Compose deployment.
Visual low-code builder for AI agents, RAG apps, chatbots, agentic workflows, multi-agent systems, LangChain-based components, API-serving flows, and self-hosted deployments through npm, Docker, and cloud platforms.
Google Agent Skills catalog for AI agents working with Google Cloud, Gemini Enterprise Agent Platform, Gemini APIs, Skill Registry, Cloud Run, BigQuery, Firebase, GKE, Cloud SQL, AlloyDB, gcloud, auth, onboarding, and Well-Architected Framework guidance.
Official Hugging Face Agent Skills collection for Claude Code, Codex, Cursor, Gemini CLI, and other skills-compatible agents, covering Hub CLI workflows, datasets, model search, Spaces, Gradio, fine-tuning, evaluations, local models, papers, Trackio, ZeroGPU, transformers.js, TRL, and the Hugging Face MCP server.
Manage your Knock notification infrastructure from Claude — create and edit workflows, channels, templates, and email layouts, manage users and tenants, commit changes across environments, and debug message logs — with the official Knock remote MCP server.
JetBrains incubator Kotlin and JVM agent framework for building predictable, fault-tolerant AI agents with graph workflows, tools, MCP integration, memory, streaming, OpenTelemetry, Spring/Ktor integrations, and multiple LLM providers.
Apache-2.0 Python framework for building MCP-native agents with composable workflow patterns, full MCP server lifecycle management, durable Temporal execution, agent-as-MCP-server support, and provider plugins for major LLMs.
Open-source Python multi-agent framework that assigns product manager, architect, project manager, engineer, and other software-company roles to LLM agents for natural-language programming, repo generation, data interpretation, research, debate, and custom agent workflows.
Microsoft framework for building, orchestrating, and deploying production AI agents and multi-agent workflows across Python and .NET, with workflows, middleware, OpenTelemetry, Foundry hosting, A2A, MCP, and Semantic Kernel migration support.
Official NVIDIA-verified Agent Skills catalog for AI agents working with CUDA-X, RAG Blueprint, NemoClaw and OpenClaw, NeMo, TAO, cuOpt, Omniverse, Physical AI, vision AI, simulation, robotics, and GPU workflows.
Agent Skills for Obsidian by Steph Ango, teaching Claude Code, Codex, OpenCode, and skills-compatible agents to work with Obsidian Flavored Markdown, Bases, JSON Canvas, Obsidian CLI, vaults, plugins, themes, and Defuddle-powered web-to-markdown extraction.
Official JavaScript and TypeScript framework for building multi-agent workflows with agents, tools, handoffs, guardrails, sessions, tracing, realtime voice agents, MCP tools, hosted tools, and sandbox agents.
Official Python framework for building multi-agent workflows with agents, tools, handoffs, guardrails, sessions, tracing, realtime voice agents, MCP tools, hosted tools, human-in-the-loop flows, and sandbox agents.
Open-source Qwen agent framework for building LLM applications with function calling, tools, planning, memory, RAG, MCP support, Docker-based code interpreter, Gradio GUI demos, BrowserQwen, Custom Assistant, and Qwen Chat backend usage.
Open-source RAG and agentic retrieval platform with DeepDoc document understanding, visual chunking, grounded citations, heterogeneous data-source ingestion, agent workflows, MCP support, code executor support, and Docker self-hosting.
MIT-licensed skill and plugin framework by Jesse Vincent for Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and other AI coding agents, covering brainstorming, planning, TDD, systematic debugging, subagent-driven development, code review, git worktrees, and finish-the-branch workflows.
Initialize projects, trigger task runs, deploy to environments, and monitor execution from Claude — with the official Trigger.dev MCP server for background job and AI agent workflow orchestration.
Python framework for autonomous AI agents, traditional agents, custom tools, MCP tools, prebuilt autonomous agents, workspace-restricted file and shell operations, E2B sandbox execution, OCR, document processing, and vector storage integrations.
Open-source TypeScript agent engineering framework and platform for building AI agents with tools, memory, workflows, RAG, guardrails, evals, MCP, voice, and VoltOps observability.
Multi-harness agentic plugin marketplace with 84 plugins, 192 agents, 156 skills, 102 commands, and 16 orchestrators for Claude Code, Codex CLI, Cursor, OpenCode, Gemini CLI, and GitHub Copilot from one Markdown source tree.
Connect Claude to Upstash — create and manage serverless Redis databases, inspect QStash message logs, and debug Workflow runs — with Upstash's official Model Context Protocol server.
Community slash command runbook for frontend visual QA using documented Claude Code Chrome integration workflows: enable /chrome, open a local page, read console messages, and follow the design verification checklist from the Chrome integration guide.